FitMyLLM
▸ NVIDIA· FERMI

NVIDIA Quadro 1000M

VRAM
2 GB
BUDGET
BANDWIDTH
29
GB/S
MODELS Q4
57/449
13%
7B Q4 SPEED
~3
SLOW
▸ MODEL COVERAGE @ Q413% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

Average speeds at Q4 quantization. Actual performance varies by model architecture and context length.

3B
~8
TOK/S
7B
—
3.9GB NEEDED
14B
—
7.9GB NEEDED
32B
—
18.0GB NEEDED
70B
—
39.4GB NEEDED
▸ SPECIFICATIONS
VRAM
2 GB
BANDWIDTH
29 GB/s
FP16 COMPUTE
0.3 TFLOPS
TDP
45W
MEMORY
DDR3
ARCHITECTURE
Fermi
CUDA CORES
96
24
FAST MODELS · >30 TOK/S
Real-time chat speed
57
USABLE · >10 TOK/S
Comfortable for all tasks
57
TOTAL COMPATIBLE
Fit in VRAM at Q4
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▸ COMPATIBLE MODELS· 57
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
258
TOK/S · 27% VRAM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
172
TOK/S · 29% VRAM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
166
TOK/S · 29% VRAM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
166
TOK/S · 29% VRAM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
91
TOK/S · 32% VRAM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
86
TOK/S · 33% VRAM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
76
TOK/S · 34% VRAM
›
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
69
TOK/S · 35% VRAM
›
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
69
TOK/S · 35% VRAM
›
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
69
TOK/S · 35% VRAM
›
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
66
TOK/S · 35% VRAM
›
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
64
TOK/S · 35% VRAM
›
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
61
TOK/S · 36% VRAM
›
A
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
46
TOK/S · 40% VRAM
›
A
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
46
TOK/S · 40% VRAM
›
A
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
45
TOK/S · 40% VRAM
›
A
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
41
TOK/S · 42% VRAM
›
A
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
41
TOK/S · 42% VRAM
›
B
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
39
TOK/S · 43% VRAM
›
B
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
39
TOK/S · 43% VRAM
›
B
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
39
TOK/S · 43% VRAM
›
B
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
37
TOK/S · 43% VRAM
›
B
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
31
TOK/S · 47% VRAM
›
B
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
31
TOK/S · 47% VRAM
›
B
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
29
TOK/S · 49% VRAM
›
B
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
27
TOK/S · 51% VRAM
›
B
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
25
TOK/S · 53% VRAM
›
C
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
21
TOK/S · 58% VRAM
›
C
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
21
TOK/S · 57% VRAM
›
C
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
19
TOK/S · 61% VRAM
›
C
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
19
TOK/S · 61% VRAM
›
C
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
19
TOK/S · 61% VRAM
›
C
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
19
TOK/S · 61% VRAM
›
C
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
18
TOK/S · 64% VRAM
›
C
OPT 1.3B1.3B
OPT·2K CTX· CHAT
18
TOK/S · 64% VRAM
›
C
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
18
TOK/S · 64% VRAM
›
C
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
17
TOK/S · 66% VRAM
›
C
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
16
TOK/S · 68% VRAM
›
C
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
16
TOK/S · 68% VRAM
›
C
stablelm-2-1_6b1.6B
STABLELM·4K CTX· CHAT
15
TOK/S · 73% VRAM
›
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Quadro 1000M.

▸Find models for Quadro 1000MCompare with other GPUs
▸ DEVICE UNDER TEST

NVIDIA Quadro 1000M — 2 GB VRAM.

▸ QUADRO 1000M SPEC
BRAND
NVIDIA
VRAM
2 GB DDR3
BANDWIDTH
29 GB/s
FP16 COMPUTE
0.3 TFLOPS
FP32 COMPUTE
0.3 TFLOPS
CUDA CORES
96
TDP
45 W
ARCHITECTURE
Fermi
▸ AI CAPABILITY
57/ 449 models @ Q4

With 2 GB VRAM and 29 GB/s bandwidth, this GPU handles models up to 2.13B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~3 tok/s.

§ 01TOP MODELS FOR QUADRO 1000M
57 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Qwen3-VL 2B Instruct2.13B1.8 GB1118.4
InternVL3 2B2.09B1.8 GB1164.9
Qwen3 1.7B2.03B1.7 GB1130.1
OpenCoder 1.5B Instruct1.91B1.7 GB1247.8
Moondream2 1.9B1.9B1.6 GB1226.2
InternLM2 1B1.89B1.6 GB12—
Qwen 1.5 1.8B1.8B1.6 GB1319.6
SmolLM2 1.7B1.71B1.5 GB1416.2
Falcon3-1B1.67B1.5 GB1442.0
GPT-2 XL 1.5B1.61B1.5 GB145.1
stablelm-2-1_6b1.6B1.5 GB159.5
LFM2-VL 1.6B1.6B1.5 GB1539.7
Falcon-H1 1.5B1.55B1.4 GB1543.8
Qwen2.5-Coder-1.5B1.5B1.4 GB1519.6
Qwen2 Math 1.5B1.5B1.4 GB1519.6
Qwen 2.5 1.5B1.5B1.4 GB1530.2
Yi Coder 1.5B1.5B1.4 GB1514.6
Stella en 1.5B v51.5B1.4 GB15—
Phi-1 1.3B1.42B1.4 GB167.2
Phi-1.5 1.3B1.42B1.4 GB167.2